Machine Learning in Sports Identifying Potential Archers
This brief highlights the association of different performance variables that influences archery performance and the employment of different machine learning algorithms in the identification of potential archers. The sport of archery is often associated w
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Rabiu Muazu Musa Zahari Taha Anwar P. P. Abdul Majeed Mohamad Razali Abdullah
Machine Learning in Sports Identifying Potential Archers
SpringerBriefs in Applied Sciences and Technology
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Rabiu Muazu Musa Zahari Taha Anwar P. P. Abdul Majeed Mohamad Razali Abdullah •
Machine Learning in Sports Identifying Potential Archers
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Rabiu Muazu Musa Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing Engineering Universiti Malaysia Pahang Pekan, Pahang, Malaysia
Anwar P. P. Abdul Majeed Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing Engineering Universiti Malaysia Pahang Pekan, Pahang, Malaysia
Zahari Taha Innovative Manufacturing, Mechatronics and Sports Laboratory, Faculty of Manufacturing Engineering Universiti Malaysia Pahang Pekan, Pahang, Malaysia
Mohamad Razali Abdullah Universiti Sultan Zainal Abidin Kuala Terengganu, Terengganu, Malaysia
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISBN 978-981-13-2591-5 ISBN 978-981-13-2592-2 (eBook) https://doi.org/10.1007/978-981-13-2592-2 Library of Congress Control Number: 2018955442 © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and re
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